Relationships between storage disorders and fruit calcium contents, lipoxygenase activity, and rates of ethylene evolution and respiration in ‘Royal Delicious’ apple (<i>Malus</i>×<i>domestica</i>Borkh.)

Sharma, R.R.; Pal, Ram; Singh, Dinesh; Singh, Jashbir; Dhiman, Manjul; Rana, Mani Ram

doi:10.1080/14620316.2012.11512878

Cited by 19 publications

(15 citation statements)

References 19 publications

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“…Ca content in apples, and Sharma et al (2012) reported that rates of ethylene production and respiration were lower in disorder-free fruit than in disorder-affected fruit. On the other hand, Saure (2014) considered the susceptibility to stress, rather than Ca deficiency, as the main cause of the development of bitter pit.…”

Section: Development Of Bitter Pit-like Symptomsmentioning

confidence: 97%

Induction of symptoms pre-harvest using the ‘passive method’: An easy way to predict bitter pit

Torres

Recasens

Peris

et al. 2015

Postharvest Biology and Technology

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A B S T R A C TAn effective method for predicting bitter pit incidence implemented before harvest could be a useful instrument for both the fruit industry and growers. Between 2009 and 2011, various methods for the prediction of bitter pit were evaluated at 60, 40, and 20 days before harvest (dbh) and at a commercial harvest in 'Golden Smoothee' apples. Four methodologies, two new ones (the development of natural bitter pit before harvest through the 'passive method' and bagging detached fruit before commercial ripening), and two of known efficacy under other conditions (infiltration with magnesium salts and maturity enhancement with ethephon dips) were assessed. To estimate the predictive accuracy of each method, bitter pit-like symptoms were related to the postharvest presence of bitter pit. The 'passive method' assesses bitter pit-like symptoms that appear naturally in fruit once they are picked from the tree, and left at room temperature during its evaluation. The 'passive method', as well as the infiltration with magnesium salts and ethephon dips, recognized bitter pit-like symptoms approximately 5-7 days after sampling (at 40 dbh) and showed significant correlation with the incidence of bitter pit after three months of cold storage. The 'passive' and 'ethephon' methods were also validated over two additional seasons in 30 and 16 different orchards, respectively. The results of these validations supported the efficacy of using the 'passive method' as the main method for predicting bitter pit, without having to use either reactive products or specialized equipment.

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Section: Development Of Bitter Pit-like Symptomsmentioning

confidence: 97%

Induction of symptoms pre-harvest using the ‘passive method’: An easy way to predict bitter pit

Torres

Recasens

Peris

et al. 2015

Postharvest Biology and Technology

View full text Add to dashboard Cite

show abstract

“…The activities of superoxide dismutase, peroxidase, catalase and ascorbate peroxidase were significantly lower in fruits with bitter pit than in the healthy fruits (Wang et al, 2001). Sharma et al (2012) found a strong positive correlation between the activity of lipoxygenase (LOX) and the occurrence of bitter pit. The activity of this enzyme has been negatively correlated with Ca content in the fruit (Sharma et al, 2012).…”

Section: The Role Of Calciummentioning

confidence: 99%

“…Sharma et al (2012) found a strong positive correlation between the activity of lipoxygenase (LOX) and the occurrence of bitter pit. The activity of this enzyme has been negatively correlated with Ca content in the fruit (Sharma et al, 2012). Wińska-Krysiak & Łata (2010) found increased LOX activity in fruit with bitter pit incidence.…”

Section: The Role Of Calciummentioning

confidence: 99%

“…Ca concentration decreases during storage (Sharma et al, 2012), which is the reason bitter pit usually occurs after several months in the cold storage. According to Chen & Zhou (2004), a decreased ability to eliminate oxygen free radicals, and accelerate the disintegration of the cell wall due to lack of Ca were the main causes of metabolic disorders of apple fruits during storage.…”

Section: Storage Of Fruitsmentioning

confidence: 99%

“…Apple fruits with a higher content of N have a higher concentration of ethylene and level of respiration (Fallahi et al, 2006;Sharma et al, 2012). Pavičić et al (2004) reported that the level of N in the fruit cannot be used as an indicator of bitter pit in apple cultivar 'Idaredʼ.…”

Section: Treatments With Calciummentioning

confidence: 99%

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Bitter pit in apples: pre- and postharvest factors: A review

Jemrić

Fruk

et al. 2017

Span. j. agric. res.

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Bitter pit is a physiological disorder that significantly reduces the quality of apples. Although it has been detected since the beginning of the last century, still there is little known about the mechanism of its occurrence. According to numerous studies, bitter pit is formed as a result of calcium deficiency in the fruit. Some authors cite the high concentration of gibberellins, later in the production season, most probably caused by excessive activity of the roots, as the chief causative factor. Beside Ca, there are several factors that can also contribute to its development, like imbalance among some mineral elements (N, P, K and Mg), cultivar, rootstock, the ratio of vegetative and generative growth, post-harvest treatments and the storage methods. There are some prediction models available that can estimate the risk of bitter pit in apples, but even those are not always reliable. The aim of this review was to encompass the pre and postharvest factors which cause bitter pit and point out the directions for solving this problem.

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Near infrared spectroscopy to predict bitter pit development in different varieties of apples

2017

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Relationships between storage disorders and fruit calcium contents, lipoxygenase activity, and rates of ethylene evolution and respiration in ‘Royal Delicious’ apple (Malus×domesticaBorkh.)

Cited by 19 publications

References 19 publications

Induction of symptoms pre-harvest using the ‘passive method’: An easy way to predict bitter pit

Induction of symptoms pre-harvest using the ‘passive method’: An easy way to predict bitter pit

Bitter pit in apples: pre- and postharvest factors: A review

Near infrared spectroscopy to predict bitter pit development in different varieties of apples

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